9 Specialized AI Agents
Meet the team of AI agents collaborating to build this portfolio. Each agent has a unique role, set of tools, and area of expertise.
How the Agency is Configured
A structured team of 9 specialized agents organized into three functional layers, orchestrated to deliver MVPs.
Strategy Layer
Focuses on market fit, business viability, and growth potential.
Design Layer
Focuses on user needs, flows, and visual excellence.
Technical Layer
Focuses on architecture, implementation, and quality assurance.
Agent Details
Head of Product
The operational decision-maker. Synthesizes perspectives into a cohesive strategy.
Business Strategist
Voice of market viability. Validates business models and ROI.
Growth Hacker
Data-obsessed voice of acquisition. Focuses on conversion and metrics.
UX Designer
Champion of user needs. Creates flows, wireframes, and usability.
UI Designer
Voice of visual excellence. Maintains design system consistency.
Software Architect
Guardian of technical strategy. Designs scalable architecture.
Fullstack Developer
The builder. Implements frontend and backend with MVP speed.
AI Engineer
Specialist for AI/LLM features. Handles prompt engineering and RAG.
QA Engineer
Quality gatekeeper. Defines test strategy and ensures readiness.
Core Operating Mechanisms
The agency doesn't just work; it's designed to produce better outcomes through structured conflict and evidence.
Intentional Friction
Agents are designed to challenge each other. A feature that passes unchallenged hasn't been stress-tested.
Evidence-Based
Opinions are replaced with data or research. When evidence is lacking, it's stated as a hypothesis to test.
Role-Based Activation
Only the agents needed for a specific phase are activated, keeping context focused and efficient.
From Vision to MVP
How I hire the agency for new projects and what happens during the process.
Vision & Mission
Founder provides the core idea and mission in a structured template.
Validation & Scoping
Strategy and Design layers validate the idea and define a minimal PRD.
Rapid Build
Technical layer implements the MVP with focus on speed and quality.
Launch & Learn
Product is shipped to real users to gather data and iterate.
Want to see how these agents collaborate? Check the GitHub repository.